Enhancing Low-Resource Language NMT Models Through Constrained Sampling-Based Data Augmentation人工智能自然语言处理神经网络机器翻译低资源语言数据增强约束采样数据增强(DA)是自然语言处理中的一种流行技术,特别是在机器翻译中.它涉及从现有数据集创建额外的训练数据以提高模型性能.然而,现有的针对低资源语言的DA方法...
High-Quality Data Augmentation for Low-Resource NMT: Combining a Translation Memory, a GAN Generator, and Filtering Back translation, as a technique for extending a dataset, is widely used by researchers in low-resource language translation tasks. It typically translates... H Liu,R Hou,Y Le...
Mining parallel sentences from internet with multi-view knowledge distillation for low-resource language pairs The neural machine translation (NMT), which relies on a large training data (bilingual parallel sentences, for NMT) to obtain the state-of-the-art performa... S Zhu,S Gu,LXD Li - 《...
Universal Neural Machine Translation for Extremely Low Resource Languages Jiatao Gu, Hany Hassan Awadalla, Jacob Devlin NAACL|June 2018 Publication Download BibTex UniNMTIn this paper, we propose a new universal machine translation approach focusing on languages with a limited amount of ...
In this paper, we propose to extend the recently introduced model-agnostic meta-learning algorithm (MAML, Finn, et al., 2017) for low-resource neural machine translation (NMT). We frame low-resource translation as a meta-learning problem where we learn to adapt to low-resource languages based...
Attention-based neural machine translation (NMT) has significantly improved translation quality for well-resourced language pairs. However, enhancing translation accuracy for low-resource languages remains a challenge due to limited datasets and technical constraints. Despite these challenges, the latest NMT...
Low-resourceMongolian-ChineseMachine translationSMTNMTNeural machine translation (NMT) has shown very promising results for some resourceful languages like En-Fr and En-De. The success partly relies on the availability of large scale and high quality......
Neural Machine Translation for Low-resource Languages: A Survey transfer learningdata augmentationzero-shot translationpivotingNeural Machine Translation (NMT) has seen tremendous growth in the last ten years since the early... S Ranathunga,ESA Lee,MKR Skenduli - 《Acm Computing Surveys》 被引量:...
For a BT task trained with NLLB, Austronesian and Trans-New Guinea language families achieve 35.1 and 31.6 BLEU scores respectively, which spurs future innovations for NMT for low-resource languages in Papua New Guinea. 展开 年份: 2023
摘要: Neural machine translation (NMT) has shown very promising results for some resourceful languages like En-Fr and En-De. The success partly relies on the availability of large scale and high quality...关键词:Low-resource Mongolian-Chinese Machine translation SMT NMT ...